Python for finance cookbook : over 80 powerful recipes for effective financial data analysis /
Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM and factor models, as well as modern machine lear...
| Main Author: | Lewinson, Eryk (Author) |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Birmingham, UK :
Packt Publishing,
[2022].
|
| Edition: | Second edition. |
| Subjects: |
Similar Items
Python for finance cookbook : over 60 powerful recipes for effective financial data analysis /
by: Lewinson, Eryk
Published: (2022)
by: Lewinson, Eryk
Published: (2022)
Financial modelling in Python /
by: Fletcher, S. (Shayne)
Published: (2009)
by: Fletcher, S. (Shayne)
Published: (2009)
Computational finance : numerical methods for pricing financial instruments /
by: Levy, George
Published: (2004)
by: Levy, George
Published: (2004)
High-performance computing in finance : problems, methods, and solutions /
Published: (2018)
Published: (2018)
High-performance computing in finance : problems, methods, and solutions /
Published: (2018)
Published: (2018)
C++ for financial mathematics /
by: Armstrong, John, 1972-
Published: (2017)
by: Armstrong, John, 1972-
Published: (2017)
R programming and its applications in financial mathematics /
by: Ohsaki, Shuichi, et al.
Published: (2018)
by: Ohsaki, Shuichi, et al.
Published: (2018)
C++ for financial mathematics /
by: Armstrong, John, 1972-
Published: (2017)
by: Armstrong, John, 1972-
Published: (2017)
C# for financial markets /
by: Duffy, Daniel J.
Published: (2013)
by: Duffy, Daniel J.
Published: (2013)
C♯ for financial markets /
by: Duffy, Daniel J.
Published: (2013)
by: Duffy, Daniel J.
Published: (2013)
R programming and its applications in financial mathematics /
by: Ohsaki, Shuichi, et al.
Published: (2018)
by: Ohsaki, Shuichi, et al.
Published: (2018)
Data science and risk analytics in finance and insurance /
by: Lai, T. L., et al.
Published: (2025)
by: Lai, T. L., et al.
Published: (2025)
Stochastic modelling of big data in finance /
by: Swishchuk, Anatoliy
Published: (2023)
by: Swishchuk, Anatoliy
Published: (2023)
Stochastic calculus for finance /
by: Capiński, Marek, 1951-
Published: (2012)
by: Capiński, Marek, 1951-
Published: (2012)
Stochastic modelling of big data in finance /
by: Swishchuk, Anatoliy
Published: (2023)
by: Swishchuk, Anatoliy
Published: (2023)
Data analytics for finance using Python /
by: Untwal, Nitin Jaglal, et al.
Published: (2025)
by: Untwal, Nitin Jaglal, et al.
Published: (2025)
Multi-factor models and signal processing techniques : application to quantitative finance /
by: Darolles, Serge, et al.
Published: (2013)
by: Darolles, Serge, et al.
Published: (2013)
FINANCIAL MODELING USING QUANTUM COMPUTING design and manage quantum machine learning solutions for financial analysis and decision making /
Published: (2023)
Published: (2023)
Stochastic calculus of variations in mathematical finance /
by: Malliavin, Paul, 1925-2010
Published: (2006)
by: Malliavin, Paul, 1925-2010
Published: (2006)
Simulation and optimization in finance : modeling with MATLAB, @Risk, or VBA /
by: Pachamanova, Dessislava A.
Published: (2010)
by: Pachamanova, Dessislava A.
Published: (2010)
Foundations of quantitative finance.
by: Reitano, Robert R., 1950-
Published: (2026)
by: Reitano, Robert R., 1950-
Published: (2026)
Advances in mathematical finance /
Published: (2007)
Published: (2007)
Quantitative finance for physicists : an introduction /
by: Schmidt, Anatoly B.
Published: (2005)
by: Schmidt, Anatoly B.
Published: (2005)
Numerical methods for finance /
by: Miller, John J. H.
Published: (2007)
by: Miller, John J. H.
Published: (2007)
Quantitative finance : an object-oriented approach in C++ /
by: Schlogl, Erik
Published: (2014)
by: Schlogl, Erik
Published: (2014)
VaR methodology for non-Gaussian finance /
by: Habart-Corlosquet, Marine
Published: (2013)
by: Habart-Corlosquet, Marine
Published: (2013)
Stochastic dominance and applications to finance, risk and economics /
Published: (2010)
Published: (2010)
Financial modelling with jump processes /
by: Cont, Rama
Published: (2004)
by: Cont, Rama
Published: (2004)
Numerical methods in finance with C++ /
by: Capiński, Marek, 1951-
Published: (2012)
by: Capiński, Marek, 1951-
Published: (2012)
Mathematical techniques in finance : an introduction /
by: Sadr, Amir, 1963-
Published: (2022)
by: Sadr, Amir, 1963-
Published: (2022)
Mathematical techniques in finance : an introduction /
by: Sadr, Amir, 1963-
Published: (2022)
by: Sadr, Amir, 1963-
Published: (2022)
Linear factor models in finance /
by: Knight, John L.
Published: (2005)
by: Knight, John L.
Published: (2005)
Data analytics for finance using Python /
by: Untwal, Nitin Jaglal, et al.
Published: (2025)
by: Untwal, Nitin Jaglal, et al.
Published: (2025)
Financial modelling : theory, implementation and practice (with Matlab source) /
by: Kienitz, Joerg
Published: (2012)
by: Kienitz, Joerg
Published: (2012)
An Introduction to computational finance /
by: Uǧur, Ömür
Published: (2009)
by: Uǧur, Ömür
Published: (2009)
Stochastic processes and applications to mathematical finance : proceedings of the Ritsumeikan International Symposium, Kusatsu, Shiga, Japan, 5-9 March 2003 /
Published: (2004)
Published: (2004)
Stochastic processes and applications to mathematical finance : proceedings of the 6th Ritsumeikan International Symposium, Ritsumeikan University, Japan, 6-10 March 2006 /
Published: (2007)
Published: (2007)
Stochastic processes and applications to mathematical finance : proceedings of the 5th Ritsumeikan International Symposium, Ritsumeikan University, Japan, 3-6 March 2005 /
Published: (2006)
Published: (2006)
FOUNDATIONS OF QUANTITATIVE FINANCE the integrals of riemann, lebesgue and riemann-stieltjes.
by: Reitano, Robert R., 1950-
Published: (2023)
by: Reitano, Robert R., 1950-
Published: (2023)
C++ for financial mathematics /
by: Armstrong, John, 1972-
Published: (2017)
by: Armstrong, John, 1972-
Published: (2017)